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DBMS > Adabas vs. Amazon Aurora vs. Microsoft SQL Server vs. Vertica

System Properties Comparison Adabas vs. Amazon Aurora vs. Microsoft SQL Server vs. Vertica

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformMySQL and PostgreSQL compatible cloud service by AmazonMicrosofts relational DBMSColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.98
Rank#67  Overall
#1  Multivalue DBMS
Score7.57
Rank#45  Overall
#27  Relational DBMS
Score1093.18
Rank#3  Overall
#3  Relational DBMS
Score23.80
Rank#29  Overall
#17  Relational DBMS
Websitewww.softwareag.com/­corporate/­products/­adabas_natural/­adabas/­default.htmlaws.amazon.com/­rds/­aurorawww.microsoft.com/­en-us/­sql-serverwww.vertica.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­UserGuide/­CHAP_Aurora.htmldocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationwww.vertica.com/­documentation/­vertica
DeveloperSoftware AGAmazonMicrosoftVertica / Micro Focus infoprior to that Hewlett Packard
Initial release1971201519892005
Current releaseSQL Server 2017, October 2017Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesnono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinux
Windows
Linux
Data schemeyesyesyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesyesyes
Secondary indexesyesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyesyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
Kafka
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesNaturalAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresin NaturalyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioningtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMaster-slave replicationyes, but depending on the SQL-Server EditionMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Amazon AuroraMicrosoft SQL ServerVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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More resources
Adabas infodenotes "adaptable data base"Amazon AuroraMicrosoft SQL ServerVertica infoVertica Analytics Platform
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